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Training Differentially Private Models with Secure Multiparty Computation

Fuente: arXiv

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Detalles Bibliográficos
Autores principales:	Pentyala, Sikha, Railsback, Davis, Maia, Ricardo, Dowsley, Rafael, Melanson, David, Nascimento, Anderson, De Cock, Martine
Formato:	Preprint
Publicado:	2022
Materias:	Cryptography and Security Machine Learning
Acceso en línea:	Acceder al recurso
Etiquetas:	Agregar Etiqueta Sin Etiquetas, Sea el primero en etiquetar este registro!

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